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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Local compartment changes and regulatory landscape alterations in histone H1-depleted cells
|
|---|---|
| Published in |
Genome Biology, December 2015
|
| DOI | 10.1186/s13059-015-0857-0 |
| Pubmed ID | |
| Authors |
Geert Geeven, Yun Zhu, Byung Ju Kim, Boris A. Bartholdy, Seung-Min Yang, Todd S. Macfarlan, Wesley D. Gifford, Samuel L. Pfaff, Marjon J. A. M. Verstegen, Hugo Pinto, Marit W. Vermunt, Menno P. Creyghton, Patrick J. Wijchers, John A. Stamatoyannopoulos, Arthur I. Skoultchi, Wouter de Laat |
| Abstract |
Linker histone H1 is a core chromatin component that binds to nucleosome core particles and the linker DNA between nucleosomes. It has been implicated in chromatin compaction and gene regulation and is anticipated to play a role in higher-order genome structure. Here we have used a combination of genome-wide approaches including DNA methylation, histone modification and DNase I hypersensitivity profiling as well as Hi-C to investigate the impact of reduced cellular levels of histone H1 in embryonic stem cells on chromatin folding and function. We find that depletion of histone H1 changes the epigenetic signature of thousands of potential regulatory sites across the genome. Many of them show cooperative loss or gain of multiple chromatin marks. Epigenetic alterations cluster to gene-dense topologically associating domains (TADs) that already showed a high density of corresponding chromatin features. Genome organization at the three-dimensional level is largely intact, but we find changes in the structural segmentation of chromosomes specifically for the epigenetically most modified TADs. Our data show that cells require normal histone H1 levels to expose their proper regulatory landscape. Reducing the levels of histone H1 results in massive epigenetic changes and altered topological organization particularly at the most active chromosomal domains. Changes in TAD configuration coincide with epigenetic landscape changes but not with transcriptional output changes, supporting the emerging concept that transcriptional control and nuclear positioning of TADs are not causally related but independently controlled by the locally associated trans-acting factors. |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 19% |
| United Kingdom | 4 | 15% |
| Norway | 2 | 7% |
| Germany | 2 | 7% |
| Australia | 2 | 7% |
| New Zealand | 1 | 4% |
| Hungary | 1 | 4% |
| Spain | 1 | 4% |
| France | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 48% |
| Scientists | 13 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Lithuania | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| China | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 108 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 27% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Bachelor | 15 | 13% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 19 | 16% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 36% |
| Biochemistry, Genetics and Molecular Biology | 36 | 31% |
| Medicine and Dentistry | 4 | 3% |
| Computer Science | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2016.
All research outputs
#2,668,288
of 25,464,544 outputs
Outputs from Genome Biology
#2,112
of 4,477 outputs
Outputs of similar age
#43,105
of 397,126 outputs
Outputs of similar age from Genome Biology
#46
of 72 outputs
Altmetric has tracked 25,464,544 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,126 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.